| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Medical Image Classification | BreaKHis | Acc85.97 | 21 | |
| Medical Image Classification | BreaKHis downsampling eighth x8↓ | Accuracy77.93 | 17 | |
| Medical Image Classification | BreaKHis downsampling quarter (x4↓) | Accuracy86.81 | 17 | |
| Medical Image Classification | BreaKHis downsampling half (x2↓) | Accuracy89.63 | 17 | |
| Medical Image Classification | BreaKHis high-resolution | Accuracy89.52 | 17 | |
| Breast cancer tumor subtyping | BreakHis RoI (test) | AUPRC96.96 | 15 | |
| Image Classification | BreakHis 8C | Accuracy94.15 | 14 | |
| Image Classification | BreakHis Binary | Accuracy93 | 14 | |
| Image Classification | BreakHis | Accuracy96.43 | 14 | |
| Breast Cancer Classification | BreakHis 400X | Sensitivity84.88 | 11 | |
| Breast Cancer Classification | BreakHis 200X | Sensitivity95.32 | 11 | |
| Breast Cancer Classification | BreakHis 100X | Sensitivity95.32 | 11 | |
| Breast Cancer Classification | BreakHis 40X | Sensitivity91.24 | 11 | |
| Two-Class Classification | BreakHis 400x magnification (test) | AUC-ROC0.8945 | 11 | |
| Two-Class Classification | BreakHis 200x magnification (test) | AUC-ROC95.28 | 11 | |
| Two-Class Classification | BreakHis 100x magnification (test) | AUC-ROC96.41 | 11 | |
| Two-Class Classification | BreakHis 40x magnification (test) | AUC-ROC93.87 | 11 | |
| Super-resolution | BreaKHis Scenario 1, x2 | PSNR42.93 | 10 | |
| Missingness Bias Reduction | BreakHis | KL Divergence1.54 | 7 | |
| Image Classification | BreakHis 6 (test) | Precision0.9501 | 6 | |
| Super-resolution | BreaKHis Scenario 2 x8 | PSNR30.64 | 5 | |
| Super-resolution | BreaKHis Scenario 2 x4 | PSNR36.79 | 5 | |
| Super-resolution | BreaKHis Scenario 2, x2 | PSNR42.3 | 5 | |
| Super-resolution | BreaKHis Scenario 1 x8 | PSNR30.02 | 5 | |
| Super-resolution | BreaKHis Scenario 1 x4 | PSNR35.15 | 5 |